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Are Land Use Planning and Congestion Pricing Mutually Supportive?

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  • Zhan Guo
  • Asha Agrawal
  • Jennifer Dill

Abstract

Problem: Congestion pricing and land use planning have been proposed as two promising strategies to reduce the externalities associated with driving, including traffic congestion, air pollution, and greenhouse gas emissions. However, they are often viewed by their proponents as substitutive instead of complementary to each other. Purpose: Using data from a pilot mileage fee program run in Portland, OR, we explored whether congestion pricing and land use planning were mutually supportive in terms of vehicle miles traveled (VMT) reduction. We examined whether effective land use planning could reinforce the benefit of congestion pricing, and whether congestion pricing could strengthen the role of land use planning in encouraging travelers to reduce driving. Methods: VMT data were collected over 10 months from 130 households, which were divided into two groups: those who paid a mileage charge with rates that varied by congestion level (i.e., congestion pricing) and those who paid a mileage charge with a flat structure. Using regression models to compare the two groups, we tested the effect of congestion pricing on VMT reduction across different land use patterns, and the effect of land use on VMT reduction with and without congestion pricing. Results and conclusions: With congestion pricing, the VMT reduction is greater in traditional (dense and mixed-use) neighborhoods than in suburban (single-use, low-density) neighborhoods, probably because of the availability of travel alternatives in the former. Under the same land use pattern, land use attributes explain more variance of household VMT when congestion pricing is implemented, suggesting that this form of mileage fee could make land use planning a more effective mechanism to reduce VMT. In summary, land use planning and congestion pricing appear to be mutually supportive. Takeaway for practice: For policymakers considering mileage pricing, land use planning affects not only the economic viability but also the political feasibility of a pricing scheme. For urban planners, congestion pricing provides both opportunities and challenges to crafting land use policies that will reduce VMT. For example, a pricing zone that overlaps with dense, mixed-use and transit-accessible development, can reinforce the benefits of these development patterns and encourage greater behavioral changes. Research support: This project was supported by the Mineta Transportation Institute, where the authors are research associates.

Suggested Citation

  • Zhan Guo & Asha Agrawal & Jennifer Dill, 2011. "Are Land Use Planning and Congestion Pricing Mutually Supportive?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 77(3), pages 232-250.
  • Handle: RePEc:taf:rjpaxx:v:77:y:2011:i:3:p:232-250
    DOI: 10.1080/01944363.2011.592129
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    Cited by:

    1. Marlon G. Boarnet & Xize Wang & Douglas Houston, 2022. "Can New Light Rail Reduce Personal Vehicle Carbon Emissions? A Before-After, Experimental-Control Evaluation in Los Angeles," Papers 2206.12610, arXiv.org.
    2. Liang Guo & Shuo Yang & Qinghao Zhang & Leyu Zhou & Hui He, 2023. "Examining the Nonlinear and Synergistic Effects of Multidimensional Elements on Commuting Carbon Emissions: A Case Study in Wuhan, China," IJERPH, MDPI, vol. 20(2), pages 1-28, January.
    3. Wenjia Zhang & Ming Zhang, 2018. "Incorporating land use and pricing policies for reducing car dependence: Analytical framework and empirical evidence," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 3012-3033, October.
    4. Marlon G. Boarnet & Xize Wang & Douglas Houston, 2017. "Can New Light Rail Reduce Personal Vehicle Carbon Emissions? A Before‐After, Experimental‐Control Evaluation In Los Angeles," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 523-539, June.
    5. Chakraborty, Debapriya & Jenn, Alan & Ji, Jean & Chan, Marcus T., 2023. "Tolling Lessons Learned for Road Usage Charge," Institute of Transportation Studies, Working Paper Series qt6xf42194, Institute of Transportation Studies, UC Davis.
    6. Niedzielski, Michael A. & Horner, Mark W. & Xiao, Ningchuan, 2013. "Analyzing scale independence in jobs-housing and commute efficiency metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 129-143.
    7. Li, Fei & Guo, Zhan, 2014. "Do parking standards matter? Evaluating the London parking reform with a matched-pair approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 352-365.
    8. Ding, Chuan & Cao, Xinyu & Wang, Yunpeng, 2018. "Synergistic effects of the built environment and commuting programs on commute mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 104-118.
    9. Cervero, Robert & Guerra, Erick, 2011. "Urban Densities and Transit: A Multi-dimensional Perspective," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3mb598qr, Institute of Transportation Studies, UC Berkeley.
    10. Jean-Philippe Meloche, 2019. "Towards a New Era in Road Pricing? Lessons from the Experience of First Movers," CIRANO Working Papers 2019s-35, CIRANO.
    11. Boarnet, Marlon G. & Wang, Xize & Houston, Douglas, 2017. "Can New Light Rail Reduce Personal Vehicle Carbon Emissions? A Before-After, Experimental-Control Evaluation in Los Angeles," SocArXiv qvwpg, Center for Open Science.
    12. Keqiang Wang & Jianglin Lu & Hongmei Liu, 2023. "How Does Spatial Injustice Affect Residents’ Policy Acceptance of the Economic–Social–Ecological Objectives of Construction Land Reduction?," IJERPH, MDPI, vol. 20(4), pages 1-19, February.
    13. Chatman, Daniel G. PhD & Barbour, Elisa PhD & Kerzhner, Tamara & Manville, Michael PhD & Reid, Carolina PhD, 2023. "Policies to Improve Transportation Sustainability, Accessibility, and Housing Affordability in the State of California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt03z7t8r1, Institute of Transportation Studies, UC Berkeley.
    14. Merlin, Louis A., 2018. "The influence of infill development on travel behavior," Research in Transportation Economics, Elsevier, vol. 67(C), pages 54-67.
    15. Yang, Jiawen & Cao, Jason & Zhou, Yufei, 2021. "Elaborating non-linear associations and synergies of subway access and land uses with urban vitality in Shenzhen," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 74-88.

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